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Channel
📣东南亚大事件 | 菲律宾新闻
@PH_CCTVV
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Handles named that no longer answer · Cite this entry
231,344subscribers
+178,488 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 100,000–316,228.
Register entry
| Telegram ID | -1002617002614 |
|---|---|
| Type | Channel |
| Username | @PH_CCTVV |
| Created | Between 1 March 2025 and 31 July 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 24 October 2026 |
| Measurements held | 47 |
| Confirmed unchanged | 1 time, most recently 24 October 2026 |
| On Telegram | t.me/PH_CCTVV |
Topic
National news — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 9 September 2026 and assigned it the closest of 31 fixed categories, at 92% confidence. This is a model’s judgement about what the channel is likely to be about, not a fact this register measured the way a subscriber count or a view count is measured — it can be revised on a later pass, and it carries no weight anywhere else on this page. How this classification works, and why it has no browse page of its own yet.
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 24 Oct 2026, 03:56 | 231,344 | -747 |
| 23 Oct 2026, 02:59 | 232,091 | -532 |
| 22 Oct 2026, 03:01 | 232,623 | -1,032 |
| 20 Oct 2026, 17:57 | 233,655 | -890 |
| 19 Oct 2026, 17:48 | 234,545 | -536 |
| 18 Oct 2026, 15:39 | 235,081 | +4,911 |
| 17 Oct 2026, 17:20 | 230,170 | +9,834 |
| 16 Oct 2026, 15:48 | 220,336 | -456 |
| 15 Oct 2026, 15:44 | 220,792 | -514 |
| 14 Oct 2026, 14:58 | 221,306 | +1,506 |
| 13 Oct 2026, 06:59 | 219,800 | -1,277 |
| 8 Oct 2026, 23:15 | 221,077 | +74,953 |
| 4 Oct 2026, 09:39 | 146,124 | +35,543 |
| 25 Sept 2026, 19:36 | 110,581 | +8,029 |
| 19 Sept 2026, 03:59 | 102,552 | -4,287 |
| 16 Sept 2026, 18:22 | 106,839 | -138 |
| 14 Sept 2026, 20:17 | 106,977 | +6,384 |
| 13 Sept 2026, 09:22 | 100,593 | -401 |
| 11 Sept 2026, 13:36 | 100,994 | -14 |
| 8 Sept 2026, 23:18 | 101,008 | first reading |
Engagement
2,207 posts held, back to 6 August 2026 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 184 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 2.55%
- avg views ÷ 231,344 subscribers
- Avg views / post
- 5,900
- 892 posts measured
- Reaction rate
- 0.023%
- reactions ÷ views · ER floor
- Posts in window
- 892
- of 2,207 held
ERR is average views per post over the last 30 days divided by subscribers, the definition TGStat uses, so this figure is comparable with the one you will see elsewhere. It falls structurally as a channel grows: a high ERR on a small channel and a low one on a large channel describe reach mathematics, not quality. We publish the figure and the sample it came from and pass no verdict on it.
ER is defined industry-wide as (forwards + reactions + comments) ÷ views — note the denominator is views, not subscribers. Telegram’s public web preview carries views and reactions but not forward or comment counts, so the reaction rate above is the reactions term only and is therefore a floor: the true ER for this channel is higher by an amount we have not measured and will not estimate. It is computed over the 85 of 892 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 23 October 2026 |
|---|---|
| Posts held | 2,207 (6 August 2026 – 23 October 2026) |
| Views total | 5,262,995 |
| Reactions total | 115 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 23 Oct 2026, 23:17 UTC |
Views are a single reading per post, taken at the time above. A post published in the last day or two is still accumulating views, which pulls the 30-day average down slightly. That is a property of the standard definition rather than a fault in it, so we keep the definition rather than “correcting” the number into something nobody can reproduce.
Precision. Telegram publishes view counts on its public widget in short form — 8.12K, 3.7M — so any reading at or above 1,000 reaches us rounded to three significant figures, and only counts below 1,000 are exact. Averages and rates derived from them are shown to the same precision rather than to the unit: a figure like 3,701,250 would assert digits nobody measured.
Reaction counts are published per emoji and rounded the same way, so a total below 1,000 is exact and a larger one is a sum that may carry a rounded component from each emoji above 1,000. Because it is a sum, it does not look rounded — read a large reaction total as three significant figures per contributing emoji rather than as the figure it prints.
What this channel posts
- Video runtime
- 2h 23m
- Average length
- 27s
Measured directly from 317 videos with a duration reading, out of the posts we hold for this channel — not this channel’s whole posting history, only the sample this register has actually read. An exact reading to the second, taken from the post itself rather than from Telegram’s own rounded chrome, so it carries no ≈ mark.
Reaction mix
125 reactions across 94 posts, in 11 distinct kinds. The most used accounts for 16.0% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 🎉 | 20 | 16.0% | |
| ❤ | 18 | 14.4% | |
| 🥰 | 16 | 12.8% | |
| 👏 | 13 | 10.4% | |
| 👍 | 12 | 9.60% | |
| 🔥 | 12 | 9.60% | |
| 😁 | 11 | 8.80% | |
| 🤩 | 11 | 8.80% | |
| ⚡ | 10 | 8.00% | |
| 🤔 | 1 | 0.8% | |
| 🤯 | 1 | 0.8% |
No sentiment is inferred, and none should be read in. This table is ordered by count and by nothing else. Emoji do not carry stable meaning across languages or communities — 🙏 is thanks in one channel and mourning in another — so we publish which ones were pressed and how often, and pass no judgement on what an audience meant by them.
Precision. Telegram publishes reaction counts per emoji and short-forms each one — 4.34K, 1.2M — so any single kind at or above 1,000 reaches us at three significant figures, and only counts below 1,000 are exact. The shares above are ratios of those figures and carry the same error. This is also why the total here can differ slightly from a reaction total printed elsewhere on the page: both are sums of the same rounded parts, taken over samples with different edges.
Coverage. Reactions were read on 94 of the 1,000 sampled posts in this sample. Summed by Telegram’s own count on each post — not by adding up the per-emoji breakdown above — those same posts carry 125 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 1,000 most recent posts we hold (the sample is capped at 1,000), published 20 September 2026 to 23 October 2026, using the newest reading held for each. Telegram Stars are excluded: they are a payment, not a reaction, and they have their own section.
Recent posts
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#网友投稿:菲律宾NBI出队抓甲米地警察 事情是这样的中国商人被黑警入室抢劫,并打了小孩子很小年纪, 枪顶着中国商人威胁转USDT, 钱转了,走之前还把孩子打了一顿并说他们就是NBI的, NBI接到投诉立刻调查不到4小时就锁定这些绑匪身份。 🤩🤩🤩🤩 🤩🤩🤩🤩🤩🤩🤩🤩 香港六合彩特码49倍|真人视讯起步返水1%|电子/棋牌/捕鱼起步返水1.5%|电子单注3000u一拉|百家乐真人视讯台红30万U 🤩🤩🤩🤩🤩🤩🤩🤩 😀😀😀😀😀😀😀😀🔥体育综合平台uu365🔥 🤩🤩❤️🤩👑电子真人0风控0审核秒出款丨每日提款不限额度不限次数丨👑 🤩🤩🤩🤩 丨全球顶级U台丨每日提款不限额度不限次数丨限红全网最高U存U取无需实名丨不限ip 👑 商务投稿:@ZJYZ11 🆕 指尖新闻:@PH_CCTVV 🚀 一键加入「指尖东南亚」菲华社群
#执法视频:10月22日晚,菲律宾国调局(NBI)突袭了苏比克(Subic)的一处诈骗窝点,现场拘留约200名越南籍人员,并查获大量电脑、手机和文件。目前,国调局正在追捕这个窝点的幕后Boss。 10月23日,国调局局长马蒂巴格(Melvin Matibag)接受采访时说,这名在逃的经营者是外国人,同时具有中国和越南背景,用的是菲律宾人的名字。他说,正因如此,国调局已联系移民局协调,追查此人下落。 🤩🤩🤩🤩 🤩🤩🤩🤩🤩🤩🤩🤩 香港六合彩特码49倍|真人视讯起步返水1%|电子/棋牌/捕鱼起步返水1.5%|电子单注3000u一拉|百家乐真人视讯台红30万U 🤩🤩🤩🤩🤩🤩🤩🤩 😀😀😀😀😀😀😀😀🔥体育综合平台uu365🔥 🤩🤩❤️🤩👑电子真人0风控0审核秒出款丨每日提款不限额度不限次数丨👑 🤩🤩🤩🤩 丨全球顶级U台丨每日提款不限额度不限次数丨限红全网最高U存U取无需实名丨不限ip 👑 商务投稿:@ZJYZ11 🆕 指尖
Showing the 12 most recent of 2,207 posts we hold for @PH_CCTVV. View and reaction counts are the latest single reading for each post, not a live figure, and a recent post is still accumulating both. A view count marked ≈ was rounded by Telegram before we ever saw it — t.me prints views in full below 1,000 and to three significant figures above, so ≈1,200,000 means somewhere between 1,150,000 and 1,249,999. Unmarked counts are exact. Text is reproduced from the public post preview and truncated for length.
Mentions
Named by 2 registered channels — every channel on the register whose own posts have named this one, by its current username or any other username it currently holds, merged from two separately captured readings of the same fact so a namer caught by only one of them is not missed and a namer both caught is not counted twice. A username this channel has since dropped is not matched — that handle may belong to someone else now, and crediting today’s namer to yesterday’s owner would misattribute it.
Named by
Channels on the register whose posts name this channel's handle.
Names
Channels on the register whose handles appear in this channel's posts.
@zhijian158 · 180335 postsG7环球|官方福利俱乐部
@wwwG7com · 3,699150 posts成年人影库|高清资源每日更新
@cnryk · 1,321149 posts全网热榜吃瓜中心——-G7.COM独家冠名
@DJDNYBG · 8,399149 posts成人小说|情色小说|小说精选
@SYXS88 · 2,174149 posts东南亚大事件|华人新闻|热点爆料
@SEAUPD · 10,908145 postsG7.COM 柬埔寨商家信息导航
@G7JPZSJ · 4,218144 posts足球圈—G7.COM独家冠名
@zhuqiu7 · 2,346144 posts菲律宾🇵🇭 世外桃源 _ 品茶 | 修车
@swty666 · 1,775111 posts菲律宾🇵🇭世外桃源_ 平价【7k-9k】
@swty885 · 1,528111 postsU8国际-官网公告
@U8fcl888 · 280 postsOkpay💰
@okpay · 146,69252 postsuu365 国际|bet365 U版 官方频道
@UU365guoji · 45,53446 postsuu365专家预测
@uu365zj · 62346 posts开元招商合作频道
@kyqp008 · 1,52338 posts一元云购 · VIP交流群
@yyygjlq · 4,76435 posts一元云购 · 官方导航
@yyygpd · 6,47535 postsSOSO搜搜
@sooo · 464,49326 posts☁️集团官方频道🏆招商中心
@aaa77311 · 99423 posts2028体育-赌王之王
@fk2028vip · 6,04314 postsN1官方频道
@N1gjpdd · 3,94714 posts2028234.COM-2028体育官方频道
@pg121 · 9,60114 postsSOSO搜搜
@souso · 573,55613 postsSOSO搜搜
@sososo · 555,73811 posts
A mention is a weaker signal than a forward and is counted separately for that reason — naming a channel is not republishing it, and a handle in a post body is easy to place deliberately. The post counts beside each row below are distinct posts in which the handle appeared, from posts we have read on both sides — the “Named by N registered channels” figure above is a different count, of distinct NAMING CHANNELS rather than posts, and is not the sum of the rows under it.
Handles this channel named that no longer answer
- Dead references
- 1
- handles named in this channel’s posts, vacant today
- Evidenced gone
- 1
- we ourselves saw one of these resolve, at some point
- Never seen alive
- 0
- vacant every time we have ever looked
@PH_CCTVV named 1 handle that resolve to nothing today. That is a fact about the reference, not necessarily a fact about the handle’s history — see the two groups below.
Most of these may never have existed as a live channel at all. A handle a channel names can be a typo, an aspirational name nobody registered, or a channel that was already gone before this one ever mentioned it. Unless a row below is marked evidenced, all we know is that it references a handle that is not a live channel today — not that anything “died”. How this is measured.
Evidenced gone
We ourselves saw each of these resolve to a real page at some point before it went vacant — a genuine, evidenced change, not an inference from absence.
named in 17 posts, 8 August 2026 – 30 August 2026 · confirmed gone 9 October 2026 (two independent sightings — see how we confirm a dead handle)evidenced
Cite this entry
A live page changes as we take new readings, so a citation should name the measurement it is based on, not just the URL. The line below cites the subscriber count as measured 24 October 2026 — this entry's latest reading, not the date you are reading this.
“📣东南亚大事件 | 菲律宾新闻” (@PH_CCTVV), 231,344 subscribers as measured 24 October 2026. Telegram Register, tgregister.com/channel/PH_CCTVV.
Full measurement history, CC BY 4.0. Every reading this register holds for this entry, not just the latest one, as a dated, downloadable record: CSV · JSON. Free to use with attribution to tgregister.com. Each file carries its own generation timestamp, which is the figure to cite for exactly when the data was retrieved.